The performance of a GeForce GTX 280 GPU running is over 2 times faster than the fastest consumer multicore CPU (3.2GHz Intel Core i7 965) and nearly 8 times faster than an average dual core consumer CPU (2.66 GHz Intel Core2 Duo E8200). the largest BOINC project with nearly 200,000 active users, searches for extra terrestrial intelligence by using radio telescopes to listen for narrow-bandwidth radio signals from space. BOINC provides the distributed computing grid layer for a wide variety of scientific projects that work to help cure diseases, study global warming, discover pulsars, and do many other types of scientific research on home Researchers in the scientific field of SETI received a massive increase in computing power today, when NVIDIA and BOINC released an optimized client that will allow to be accelerated on GeForce GPUs. "CUDA technology makes it easy for scientists and researchers to optimize BOINC projects for NVIDIA GPUs and they are already using it for applications in molecular dynamics, protein structure prediction, climate and weather modeling, medical imaging, and many other areas."īOINC is a unique approach to supercomputing in which multiple consumer computers are joined together over the Internet and their combined computing power is used to tackle very large computational tasks. Berkeley Space Sciences Laboratory and founder of BOINC. "NVIDIA CUDA technology opens up processing power for scientific research that was previously unavailable and impossible for researchers to afford," said Dr. Berkeley's Open Infrastructure for Network Computing (BOINC), one of the leading distributed computing platforms in the world, is using CUDA technology to tap the massively parallel processing power of NVIDIA GPUs with astounding results that could change the pace of scientific discovery through projects like GPUGRID and The latest breakthrough came with the release of an optimized client that will allow to analyze SETI (Search for Extraterrestrial Intelligence) data in about one-eighth of the time it previously took using CPUs. SANTA CLARA, CA-December 17, 2008- Once thought of as a technology used only for computer games, NVIDIA® GeForce® graphics processing units (GPUs) with CUDA™ technology are now being used for the serious business of scientific computation.
0 kommentar(er)
